• Journal of the Korean Home Economics Association
• /
• v.31 no.2
• /
• pp.81-96
• /
• 1993

The purpose of this study is to investigate how external pressures to remain married and alternative attractions to a marriage influence the relationship between marital satisfaction and marital stability. A total of 228 married women in Seoul responded to structured questionnaires. The major findings are as follows; 1. While the marital satisfaction is positively associated with the marital stability, the alternative attractions to a marriage are negatively associated with the marital stability. But there is no significant correlation between external pressures to remain married and marital stability. 2. The relationship strength between marital satisfaction and marital stability according to the level of external pressures to remain married and actual alternatives to a marriage is not appeared significant difference. 3. When the external pressures to remain marred are low and the imaginary alternatives to a marriage are low, marital satisfaction is the most powerful predictor of marital stability. 4. Whether wife has a job and marital satisfaction affected the marital stability independently.

• Genomics & Informatics
• /
• v.4 no.4
• /
• pp.173-181
• /
• 2006

Pattern finding is one of the important tasks in a protein or DNA sequence analysis. Alignment is the widely used technique for finding patterns in sequence analysis. BLAST (Basic Local Alignment Search Tool) is one of the most popularly used tools in bio-informatics to explore available DNA or protein sequence databases. BLAST may generate a huge output for a large sequence data that contains various sequence patterns. However, BLAST does not provide a tool to summarize and analyze the patterns or matched alignments in the BLAST output file. BLAST lacks of general and robust parsing tools to extract the essential information out from its output. This paper presents a pattern summary system which is a powerful and comprehensive tool for discovering pattern structures in huge amount of sequence data in the BLAST. The pattern summary system can identify clusters of patterns, extract the cluster pattern sequences from the subject database of BLAST, and display the clusters graphically to show the distribution of clusters in the subject database.

• Korean Journal of Adult Nursing
• /
• v.18 no.4
• /
• pp.593-602
• /
• 2006

Purpose: The purposes of this study were to provide baseline data for nursing service program and to elevate the quality of service by examining whether nurses' nursing service is related to job stress, job satisfaction, organizational commitment, leadership and nursing service satisfaction in hospitals. Method: Subjects were 135 nurses and 135 patients, working and being in the hospitals in C province & D city from November. 7 to 21, 2005 and completed a structured questionnaire. The data was analyzed using descriptive statistics, t-test, ANOVA, ANCOVA, Pearson's correlation analysis, and multiple regression analysis. Results: The most powerful predictor of nursing service was leadership(60.7%). Altogether leadership, nursing service satisfaction, organizational commitment, and work stress explained 72.5% of nursing service of the nurses in hospitals. Conclusion: The results showed the nurses' nursing service in hospitals was influenced by leadership, nursing service satisfaction, organizational commitment, and job stress. It suggested that concepts of leadership, nursing service satisfaction, organizational commitment, and job stress should be considered in developing nursing services programs.

• Korean Journal of Adult Nursing
• /
• v.22 no.2
• /
• pp.182-189
• /
• 2010

Purpose: The purpose of this study was to identify predictors on drinking problems of university students. Methods: The participants were 359 students by convenience sampling in P city. Data were collected from October 15 to December 20, 2007 using drinking problems questionnaire, Global assessment of recent stress scale, CES-D and self-esteem scale. The collected data were analyzed by descriptive statistics, Pearson's correlation coefficient, and stepwise multiple regression. Results: There were positive correlations between stress and drinking problems, between depression and drinking problems. Also, there were negative correlations between stress and self-esteem, between depression and self-esteem. In stepwise multiple regression analysis, the most powerful predictor of drinking problems was depression. Conclusion: The results suggest that effective management of depression and stress can be considered when developing a prevention program of drinking problems for university students.

• Biomedical Science Letters
• /
• v.11 no.3
• /
• pp.295-299
• /
• 2005

Staphylococcus aureus is an important animal and human pathogen implicated in a variety of disease including food-poisoning caused by staphyloccal enterotoxins (SEs). In order to investigate the difference in genomic types and to monitor the transmission of S. aureus isolates, a total of 25 S. aureus isolates from different sources were determined for their genotypic characteristics by pulsed-field gel electrophoresis (PFGE) in addition to their ability to enterotoxin production and antibiotic resistance patterns in this study. All the isolates were susceptible to amikacin, and the resistance pattern to ampicillin and penicillin were most common among 14 different patterns. Eleven of 24 isolates produced one of three SEs, SEA, SEC or SED. Sixteen representative PFGE patterns were obtained by Smal restriction fragments of S. aureus isolates. Analysis of dendrogram based on PFGE band patterns suggested that food-poisoning outbreaks be caused by the diverse sources of food, of which their raw materials were infected with S. aureus. Also, it could be concluded that PFGE was a powerful tool for epidemiological tracing of infection source for food-initiated outbreaks.

• Journal of Advanced Marine Engineering and Technology
• /
• v.20 no.2
• /
• pp.83-83
• /
• 1996

Recently, for enhanced productivity the induction of CAD/CAM is vigorous. Most of high-level CAD/CAM systems produce powerful faculties. But it is very expensive to purchase the system in small and difficult to be operated by non-experienced workers effectively. Then the resonable CAM system for these is needed. In this study we developed a proto-type of the CAM system for CNC lathe connecting with personal computer. This system is configured with interactive menu windows for easy control of CNC lathe. And the system supports tool path generation for cutting conditions of workpiece. The performance of this system is satisfactory.

• Journal of Advanced Marine Engineering and Technology
• /
• v.20 no.2
• /
• pp.15-23
• /
• 1996

Recently, for enhanced productivity the induction of CAD/CAM is vigorous. Most of high-level CAD/CAM systems produce powerful faculties. But it is very expensive to purchase the system in small and difficult to be operated by non-experienced workers effectively. Then the resonable CAM system for these is needed. In this study we developed a proto-type of the CAM system for CNC lathe connecting with personal computer. This system is configured with interactive menu windows for easy control of CNC lathe. And the system supports tool path generation for cutting conditions of workpiece. The performance of this system is satisfactory.

• Journal of the Korean Society of Manufacturing Technology Engineers
• /
• v.24 no.1
• /
• pp.15-22
• /
• 2015

In the present paper we report the results of a study into Friction Stir Welds (FSWs) made in 13 mm-thick 12%-Cr steel plates. Based on residual strains obtained by diffraction techniques, eigenstrain analysis was performed using the Eigenstrain Reconstruction Method (ERM), which is a novel methodology for the reconstruction of full-field residual strain and stress distributions within engineering components. Significant eigenstrain distributions were found at around Thermo-Mechanically Affected Zone (TMAZ) where the most severe plastic deformation was occurred. Microstructure analysis was used to elucidate this phenomenon showing that the grain structure in TMAZ was bent and not successfully recrystallised, resulting in severe deformation behaviour. The reconstructed residual strain distributions by the ERM agree well with the experimental results. It was found that the approach based on theory of eigenstrain is a powerful basis for reconstructing the full-field residual strain/stress distributions in engineering components and structures.

• Korean Journal of Adult Nursing
• /
• v.20 no.5
• /
• pp.719-730
• /
• 2008

Purpose: This study was done to identify the influencing factors of spiritual health in patients suffering from women cancers. Methods: The subjects were 130 in woman patients who were diagnosed with women cancer(breast Ca & uterine Ca) at three university hospitals and one general hospital. Data collection was conducted by using 4 questionnaires. The collected data were analyzed using frequency, percentage, t-test, ANOVA, Pearson's correlation coefficients, stepwise multiple regression. Results: Spiritual health score was middle. There were a significant correlation between spiritual health and depression, pain, fatigue and effects of religion. There were significant differences in spiritual health according to the education level, monthly income, meaning of religion or god, Frequency of attendance at worship. The most powerful predictor of spiritual health was depression(27.2%). Altogether depression, effects of religion, pain, and education level explained 46.1% of spiritual health of women cancer patients. Conclusion: It suggested that concepts of depression, effects of religion, pain, and education level should be considered in developing spiritual health promoting program for women cancer patients.

• International Journal of Contents
• /
• v.8 no.4
• /
• pp.56-63
• /
• 2012

In recent decades, analyzing the activities of human brain achieved some accomplishments by using the functional Magnetic Resonance Imaging (fMRI) technique. fMRI data provide a sequence of three-dimensional images related to human brain's activity which can be used to detect instantaneous cognitive states by applying machine learning methods. In this paper, we propose a new approach for distinguishing human's cognitive states such as "observing a picture" versus "reading a sentence" and "reading an affirmative sentence" versus "reading a negative sentence". Since fMRI data are high dimensional (about 100,000 features in each sample), extremely sparse and noisy, feature selection is a very important step for increasing classification accuracy and reducing processing time. We used the Fisher Discriminant Ratio to select the most powerful discriminative features from some Regions of Interest (ROIs). The experimental results showed that our approach achieved the best performance compared to other feature extraction methods with the average accuracy approximately 95.83% for the first study and 99.5% for the second study.